Overview

Dataset statistics

Number of variables22
Number of observations192
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.6 KiB
Average record size in memory168.7 B

Variable types

DateTime1
Numeric21

Alerts

Austria is highly overall correlated with Belgium and 18 other fieldsHigh correlation
Belgium is highly overall correlated with Austria and 17 other fieldsHigh correlation
Denmark is highly overall correlated with Austria and 18 other fieldsHigh correlation
Finland is highly overall correlated with Austria and 17 other fieldsHigh correlation
France is highly overall correlated with Austria and 16 other fieldsHigh correlation
Germany is highly overall correlated with Austria and 15 other fieldsHigh correlation
Ireland is highly overall correlated with Austria and 15 other fieldsHigh correlation
Italy is highly overall correlated with Austria and 18 other fieldsHigh correlation
Luxembourg is highly overall correlated with Austria and 18 other fieldsHigh correlation
Morocco is highly overall correlated with Austria and 10 other fieldsHigh correlation
Netherlands is highly overall correlated with Austria and 18 other fieldsHigh correlation
Norway is highly overall correlated with Austria and 15 other fieldsHigh correlation
Portugal is highly overall correlated with Austria and 13 other fieldsHigh correlation
Romania is highly overall correlated with Austria and 17 other fieldsHigh correlation
Spain is highly overall correlated with Austria and 14 other fieldsHigh correlation
Sweden is highly overall correlated with Austria and 18 other fieldsHigh correlation
Switzerland is highly overall correlated with Austria and 17 other fieldsHigh correlation
Total is highly overall correlated with Austria and 16 other fieldsHigh correlation
United Kingdom is highly overall correlated with Austria and 15 other fieldsHigh correlation
year is highly overall correlated with Austria and 9 other fieldsHigh correlation
Fecha has unique valuesUnique
Total has unique valuesUnique
United Kingdom has unique valuesUnique
Spain has unique valuesUnique
France has unique valuesUnique
Denmark has unique valuesUnique
Norway has 3 (1.6%) zerosZeros
Austria has 8 (4.2%) zerosZeros
Romania has 2 (1.0%) zerosZeros
Luxembourg has 3 (1.6%) zerosZeros

Reproduction

Analysis started2024-02-11 16:31:21.081992
Analysis finished2024-02-11 16:32:54.328654
Duration1 minute and 33.25 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Fecha
Date

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2009-01-01 00:00:00
Maximum2024-12-01 00:00:00
2024-02-11T17:32:54.522838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:54.712640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Total
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723111.33
Minimum45021
Maximum1439444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:54.929809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45021
5-th percentile285895.15
Q1485849.25
median718848
Q3921238.25
95-th percentile1217380.6
Maximum1439444
Range1394423
Interquartile range (IQR)435389

Descriptive statistics

Standard deviation296411.96
Coefficient of variation (CV)0.40991193
Kurtosis-0.42859327
Mean723111.33
Median Absolute Deviation (MAD)219979.5
Skewness0.13264891
Sum1.3883738 × 108
Variance8.7860049 × 1010
MonotonicityNot monotonic
2024-02-11T17:32:55.120603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
417464 1
 
0.5%
398819 1
 
0.5%
725232 1
 
0.5%
1004673 1
 
0.5%
1055614 1
 
0.5%
1102837 1
 
0.5%
1203682 1
 
0.5%
1179827 1
 
0.5%
1082587 1
 
0.5%
1021846 1
 
0.5%
Other values (182) 182
94.8%
ValueCountFrequency (%)
45021 1
0.5%
82885 1
0.5%
88522 1
0.5%
111814 1
0.5%
133856 1
0.5%
155879 1
0.5%
166957 1
0.5%
176964 1
0.5%
186944 1
0.5%
284700 1
0.5%
ValueCountFrequency (%)
1439444 1
0.5%
1428903 1
0.5%
1353841 1
0.5%
1352611 1
0.5%
1319857 1
0.5%
1306627 1
0.5%
1303834 1
0.5%
1251408 1
0.5%
1233549 1
0.5%
1229897 1
0.5%

United Kingdom
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213434.78
Minimum4405
Maximum380986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:55.315089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4405
5-th percentile42293.6
Q1137700
median232565.5
Q3294618.5
95-th percentile340220.05
Maximum380986
Range376581
Interquartile range (IQR)156918.5

Descriptive statistics

Standard deviation93406.687
Coefficient of variation (CV)0.43763574
Kurtosis-1.001869
Mean213434.78
Median Absolute Deviation (MAD)79843
Skewness-0.28033067
Sum40979478
Variance8.7248093 × 109
MonotonicityNot monotonic
2024-02-11T17:32:55.537093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150381 1
 
0.5%
142633 1
 
0.5%
187390 1
 
0.5%
300030 1
 
0.5%
328378 1
 
0.5%
336129 1
 
0.5%
355717 1
 
0.5%
360532 1
 
0.5%
331552 1
 
0.5%
302420 1
 
0.5%
Other values (182) 182
94.8%
ValueCountFrequency (%)
4405 1
0.5%
5755 1
0.5%
5794 1
0.5%
8635 1
0.5%
23458 1
0.5%
28368 1
0.5%
28994 1
0.5%
29626 1
0.5%
33766 1
0.5%
41385 1
0.5%
ValueCountFrequency (%)
380986 1
0.5%
376317 1
0.5%
360532 1
0.5%
355717 1
0.5%
350627 1
0.5%
350267 1
0.5%
349617 1
0.5%
347639 1
0.5%
341653 1
0.5%
341336 1
0.5%

Spain
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131844.81
Minimum7703
Maximum236251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:55.757815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7703
5-th percentile64923.15
Q1111519
median131302
Q3153820.5
95-th percentile206131.75
Maximum236251
Range228548
Interquartile range (IQR)42301.5

Descriptive statistics

Standard deviation41808.096
Coefficient of variation (CV)0.31710082
Kurtosis0.74375091
Mean131844.81
Median Absolute Deviation (MAD)21414.5
Skewness-0.089248261
Sum25314203
Variance1.7479169 × 109
MonotonicityNot monotonic
2024-02-11T17:32:55.934176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135017 1
 
0.5%
129469 1
 
0.5%
135194 1
 
0.5%
147003 1
 
0.5%
145470 1
 
0.5%
150384 1
 
0.5%
162254 1
 
0.5%
159819 1
 
0.5%
149418 1
 
0.5%
145077 1
 
0.5%
Other values (182) 182
94.8%
ValueCountFrequency (%)
7703 1
0.5%
13208 1
0.5%
15003 1
0.5%
28529 1
0.5%
35017 1
0.5%
46005 1
0.5%
47512 1
0.5%
51051 1
0.5%
51229 1
0.5%
64421 1
0.5%
ValueCountFrequency (%)
236251 1
0.5%
234521 1
0.5%
228159 1
0.5%
225634 1
0.5%
223999 1
0.5%
223686 1
0.5%
218537 1
0.5%
214377 1
0.5%
214119 1
0.5%
206668 1
0.5%

Germany
Real number (ℝ)

HIGH CORRELATION 

Distinct191
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59305.495
Minimum2592
Maximum113967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:56.120294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2592
5-th percentile18674
Q138603.25
median59728.5
Q378934.5
95-th percentile100421.45
Maximum113967
Range111375
Interquartile range (IQR)40331.25

Descriptive statistics

Standard deviation25665.28
Coefficient of variation (CV)0.43276395
Kurtosis-0.72399937
Mean59305.495
Median Absolute Deviation (MAD)20451
Skewness-0.02193332
Sum11386655
Variance6.5870661 × 108
MonotonicityNot monotonic
2024-02-11T17:32:56.357194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94996 2
 
1.0%
28310 1
 
0.5%
54196 1
 
0.5%
84036 1
 
0.5%
86133 1
 
0.5%
86186 1
 
0.5%
89180 1
 
0.5%
90104 1
 
0.5%
84706 1
 
0.5%
86103 1
 
0.5%
Other values (181) 181
94.3%
ValueCountFrequency (%)
2592 1
0.5%
3038 1
0.5%
4211 1
0.5%
9427 1
0.5%
9711 1
0.5%
11289 1
0.5%
13171 1
0.5%
13960 1
0.5%
16551 1
0.5%
17343 1
0.5%
ValueCountFrequency (%)
113967 1
0.5%
113822 1
0.5%
111020 1
0.5%
108872 1
0.5%
104701 1
0.5%
103402 1
0.5%
103186 1
0.5%
102340 1
0.5%
101365 1
0.5%
100466 1
0.5%

France
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43418.891
Minimum1134
Maximum98484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:56.586132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1134
5-th percentile15897.9
Q126539.5
median37513
Q362190.25
95-th percentile82752.75
Maximum98484
Range97350
Interquartile range (IQR)35650.75

Descriptive statistics

Standard deviation21721.792
Coefficient of variation (CV)0.50028435
Kurtosis-0.69896219
Mean43418.891
Median Absolute Deviation (MAD)13628.5
Skewness0.48724855
Sum8336427
Variance4.7183623 × 108
MonotonicityNot monotonic
2024-02-11T17:32:56.786879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18300 1
 
0.5%
16524 1
 
0.5%
38909 1
 
0.5%
70245 1
 
0.5%
75960 1
 
0.5%
78838 1
 
0.5%
82816 1
 
0.5%
86460 1
 
0.5%
77479 1
 
0.5%
70675 1
 
0.5%
Other values (182) 182
94.8%
ValueCountFrequency (%)
1134 1
0.5%
1512 1
0.5%
3814 1
0.5%
6451 1
0.5%
7493 1
0.5%
9083 1
0.5%
10584 1
0.5%
11966 1
0.5%
12882 1
0.5%
15514 1
0.5%
ValueCountFrequency (%)
98484 1
0.5%
95139 1
0.5%
88400 1
0.5%
86460 1
0.5%
86022 1
0.5%
85316 1
0.5%
84502 1
0.5%
84131 1
0.5%
83852 1
0.5%
82816 1
0.5%

Netherlands
Real number (ℝ)

HIGH CORRELATION 

Distinct190
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36893.458
Minimum0
Maximum78488
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:56.974463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10962.95
Q121995.75
median34347.5
Q353269
95-th percentile68926.65
Maximum78488
Range78488
Interquartile range (IQR)31273.25

Descriptive statistics

Standard deviation18229.858
Coefficient of variation (CV)0.49412169
Kurtosis-0.69211414
Mean36893.458
Median Absolute Deviation (MAD)13907
Skewness0.34919165
Sum7083544
Variance3.3232772 × 108
MonotonicityNot monotonic
2024-02-11T17:32:57.152045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10782 2
 
1.0%
17020 2
 
1.0%
34590 1
 
0.5%
52568 1
 
0.5%
59237 1
 
0.5%
59208 1
 
0.5%
59623 1
 
0.5%
60763 1
 
0.5%
56165 1
 
0.5%
59796 1
 
0.5%
Other values (180) 180
93.8%
ValueCountFrequency (%)
0 1
0.5%
342 1
0.5%
2835 1
0.5%
6266 1
0.5%
6293 1
0.5%
7164 1
0.5%
10424 1
0.5%
10660 1
0.5%
10782 2
1.0%
11111 1
0.5%
ValueCountFrequency (%)
78488 1
0.5%
76291 1
0.5%
75976 1
0.5%
75530 1
0.5%
75383 1
0.5%
74250 1
0.5%
74186 1
0.5%
71047 1
0.5%
70032 1
0.5%
69079 1
0.5%

Ireland
Real number (ℝ)

HIGH CORRELATION 

Distinct189
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31359.839
Minimum348
Maximum66973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:57.333410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum348
5-th percentile8150.9
Q117063.25
median32567.5
Q344578.75
95-th percentile59313.55
Maximum66973
Range66625
Interquartile range (IQR)27515.5

Descriptive statistics

Standard deviation16481.193
Coefficient of variation (CV)0.52555096
Kurtosis-0.94580298
Mean31359.839
Median Absolute Deviation (MAD)14364.5
Skewness0.15795979
Sum6021089
Variance2.7162973 × 108
MonotonicityNot monotonic
2024-02-11T17:32:57.513856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1701 2
 
1.0%
36260 2
 
1.0%
12759 2
 
1.0%
20297 1
 
0.5%
55696 1
 
0.5%
58572 1
 
0.5%
60031 1
 
0.5%
60409 1
 
0.5%
54942 1
 
0.5%
47540 1
 
0.5%
Other values (179) 179
93.2%
ValueCountFrequency (%)
348 1
0.5%
1323 1
0.5%
1512 1
0.5%
1701 2
1.0%
3267 1
0.5%
3645 1
0.5%
3849 1
0.5%
4084 1
0.5%
7932 1
0.5%
8330 1
0.5%
ValueCountFrequency (%)
66973 1
0.5%
66753 1
0.5%
64678 1
0.5%
64409 1
0.5%
62320 1
0.5%
61314 1
0.5%
60516 1
0.5%
60409 1
0.5%
60031 1
0.5%
59412 1
0.5%

Belgium
Real number (ℝ)

HIGH CORRELATION 

Distinct191
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26911.479
Minimum1749
Maximum48345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:57.683691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1749
5-th percentile8478.4
Q119189.25
median26606.5
Q336583.5
95-th percentile44506.3
Maximum48345
Range46596
Interquartile range (IQR)17394.25

Descriptive statistics

Standard deviation11143.623
Coefficient of variation (CV)0.41408437
Kurtosis-0.7793687
Mean26911.479
Median Absolute Deviation (MAD)8627.5
Skewness-0.053661505
Sum5167004
Variance1.2418033 × 108
MonotonicityNot monotonic
2024-02-11T17:32:57.869221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30311 2
 
1.0%
8581 1
 
0.5%
23453 1
 
0.5%
31306 1
 
0.5%
42959 1
 
0.5%
41302 1
 
0.5%
40438 1
 
0.5%
46133 1
 
0.5%
47360 1
 
0.5%
41384 1
 
0.5%
Other values (181) 181
94.3%
ValueCountFrequency (%)
1749 1
0.5%
1890 1
0.5%
3473 1
0.5%
4518 1
0.5%
5320 1
0.5%
5754 1
0.5%
6078 1
0.5%
7314 1
0.5%
7625 1
0.5%
8353 1
0.5%
ValueCountFrequency (%)
48345 1
0.5%
48185 1
0.5%
47360 1
0.5%
46133 1
0.5%
45655 1
0.5%
45587 1
0.5%
45420 1
0.5%
45395 1
0.5%
45018 1
0.5%
44987 1
0.5%

Denmark
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25085.38
Minimum0
Maximum51719
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:58.075997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8179.05
Q116175.75
median23571
Q334956.25
95-th percentile45022.85
Maximum51719
Range51719
Interquartile range (IQR)18780.5

Descriptive statistics

Standard deviation11529.266
Coefficient of variation (CV)0.45960102
Kurtosis-0.67846762
Mean25085.38
Median Absolute Deviation (MAD)7942.5
Skewness0.28449802
Sum4816393
Variance1.3292398 × 108
MonotonicityNot monotonic
2024-02-11T17:32:58.285940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6950 1
 
0.5%
7888 1
 
0.5%
27111 1
 
0.5%
37890 1
 
0.5%
36987 1
 
0.5%
38541 1
 
0.5%
46663 1
 
0.5%
40683 1
 
0.5%
34842 1
 
0.5%
35804 1
 
0.5%
Other values (182) 182
94.8%
ValueCountFrequency (%)
0 1
0.5%
1854 1
0.5%
3149 1
0.5%
3213 1
0.5%
4991 1
0.5%
5810 1
0.5%
6655 1
0.5%
6950 1
0.5%
7888 1
0.5%
8162 1
0.5%
ValueCountFrequency (%)
51719 1
0.5%
51161 1
0.5%
50381 1
0.5%
48318 1
0.5%
47589 1
0.5%
46663 1
0.5%
46586 1
0.5%
45940 1
0.5%
45548 1
0.5%
45085 1
0.5%

Italy
Real number (ℝ)

HIGH CORRELATION 

Distinct190
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24213.984
Minimum0
Maximum68663
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:58.461814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2979.35
Q113127
median23598.5
Q330755.5
95-th percentile54217
Maximum68663
Range68663
Interquartile range (IQR)17628.5

Descriptive statistics

Standard deviation14608.389
Coefficient of variation (CV)0.60330381
Kurtosis0.87224239
Mean24213.984
Median Absolute Deviation (MAD)8786.5
Skewness0.85590555
Sum4649085
Variance2.1340503 × 108
MonotonicityNot monotonic
2024-02-11T17:32:58.664547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
756 2
 
1.0%
10080 2
 
1.0%
27567 1
 
0.5%
29843 1
 
0.5%
31661 1
 
0.5%
34841 1
 
0.5%
37375 1
 
0.5%
35845 1
 
0.5%
35620 1
 
0.5%
31502 1
 
0.5%
Other values (180) 180
93.8%
ValueCountFrequency (%)
0 1
0.5%
567 1
0.5%
756 2
1.0%
1134 1
0.5%
1314 1
0.5%
1323 1
0.5%
1494 1
0.5%
1503 1
0.5%
2079 1
0.5%
3716 1
0.5%
ValueCountFrequency (%)
68663 1
0.5%
68432 1
0.5%
66834 1
0.5%
66236 1
0.5%
63811 1
0.5%
63501 1
0.5%
59441 1
0.5%
56966 1
0.5%
55065 1
0.5%
54800 1
0.5%

Sweden
Real number (ℝ)

HIGH CORRELATION 

Distinct190
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21818.875
Minimum180
Maximum52593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:58.845871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile2785.8
Q112227
median21345
Q331393
95-th percentile43109.1
Maximum52593
Range52413
Interquartile range (IQR)19166

Descriptive statistics

Standard deviation12441.389
Coefficient of variation (CV)0.5702122
Kurtosis-0.75481959
Mean21818.875
Median Absolute Deviation (MAD)9431.5
Skewness0.28750947
Sum4189224
Variance1.5478816 × 108
MonotonicityNot monotonic
2024-02-11T17:32:59.023191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13221 2
 
1.0%
7560 2
 
1.0%
2166 1
 
0.5%
38506 1
 
0.5%
39770 1
 
0.5%
49917 1
 
0.5%
36786 1
 
0.5%
35358 1
 
0.5%
37527 1
 
0.5%
28212 1
 
0.5%
Other values (180) 180
93.8%
ValueCountFrequency (%)
180 1
0.5%
900 1
0.5%
1440 1
0.5%
1884 1
0.5%
2166 1
0.5%
2200 1
0.5%
2213 1
0.5%
2399 1
0.5%
2619 1
0.5%
2733 1
0.5%
ValueCountFrequency (%)
52593 1
0.5%
49917 1
0.5%
49119 1
0.5%
47876 1
0.5%
46065 1
0.5%
44610 1
0.5%
44467 1
0.5%
44454 1
0.5%
44289 1
0.5%
43416 1
0.5%

Norway
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct189
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19778.24
Minimum0
Maximum46128
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:59.186641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3660
Q112457.5
median18005
Q328574.75
95-th percentile35632.65
Maximum46128
Range46128
Interquartile range (IQR)16117.25

Descriptive statistics

Standard deviation10477.941
Coefficient of variation (CV)0.52977118
Kurtosis-0.55205795
Mean19778.24
Median Absolute Deviation (MAD)8253
Skewness0.21739363
Sum3797422
Variance1.0978725 × 108
MonotonicityNot monotonic
2024-02-11T17:32:59.378854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
1.6%
5613 2
 
1.0%
5425 1
 
0.5%
15109 1
 
0.5%
19429 1
 
0.5%
33387 1
 
0.5%
29011 1
 
0.5%
30599 1
 
0.5%
41559 1
 
0.5%
31579 1
 
0.5%
Other values (179) 179
93.2%
ValueCountFrequency (%)
0 3
1.6%
180 1
 
0.5%
186 1
 
0.5%
360 1
 
0.5%
546 1
 
0.5%
873 1
 
0.5%
906 1
 
0.5%
3165 1
 
0.5%
4065 1
 
0.5%
4299 1
 
0.5%
ValueCountFrequency (%)
46128 1
0.5%
45732 1
0.5%
44803 1
0.5%
44143 1
0.5%
42509 1
0.5%
41559 1
0.5%
40386 1
0.5%
39204 1
0.5%
38004 1
0.5%
37567 1
0.5%

Switzerland
Real number (ℝ)

HIGH CORRELATION 

Distinct191
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16836.089
Minimum325
Maximum36926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:59.553599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325
5-th percentile6273.5
Q111017.25
median15742
Q323183
95-th percentile30127.15
Maximum36926
Range36601
Interquartile range (IQR)12165.75

Descriptive statistics

Standard deviation7647.3054
Coefficient of variation (CV)0.45422102
Kurtosis-0.67920543
Mean16836.089
Median Absolute Deviation (MAD)5900
Skewness0.20956581
Sum3232529
Variance58481279
MonotonicityNot monotonic
2024-02-11T17:32:59.724652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12212 2
 
1.0%
7488 1
 
0.5%
12391 1
 
0.5%
22808 1
 
0.5%
24058 1
 
0.5%
23606 1
 
0.5%
30124 1
 
0.5%
30260 1
 
0.5%
28227 1
 
0.5%
26657 1
 
0.5%
Other values (181) 181
94.3%
ValueCountFrequency (%)
325 1
0.5%
558 1
0.5%
1446 1
0.5%
1691 1
0.5%
2115 1
0.5%
3451 1
0.5%
3811 1
0.5%
4438 1
0.5%
4446 1
0.5%
6114 1
0.5%
ValueCountFrequency (%)
36926 1
0.5%
33043 1
0.5%
31916 1
0.5%
31702 1
0.5%
31141 1
0.5%
31124 1
0.5%
30663 1
0.5%
30410 1
0.5%
30260 1
0.5%
30131 1
0.5%

Finland
Real number (ℝ)

HIGH CORRELATION 

Distinct187
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12413.964
Minimum209
Maximum25031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:32:59.893144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum209
5-th percentile2577.05
Q18720
median12857
Q315898
95-th percentile20948.25
Maximum25031
Range24822
Interquartile range (IQR)7178

Descriptive statistics

Standard deviation5471.1843
Coefficient of variation (CV)0.44072824
Kurtosis-0.52602163
Mean12413.964
Median Absolute Deviation (MAD)3606.5
Skewness-0.1370531
Sum2383481
Variance29933858
MonotonicityNot monotonic
2024-02-11T17:33:00.074873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11293 3
 
1.6%
1152 2
 
1.0%
7884 2
 
1.0%
13686 2
 
1.0%
2717 1
 
0.5%
16739 1
 
0.5%
19956 1
 
0.5%
20056 1
 
0.5%
21187 1
 
0.5%
1816 1
 
0.5%
Other values (177) 177
92.2%
ValueCountFrequency (%)
209 1
0.5%
336 1
0.5%
418 1
0.5%
1152 2
1.0%
1491 1
0.5%
1556 1
0.5%
1635 1
0.5%
1816 1
0.5%
2406 1
0.5%
2717 1
0.5%
ValueCountFrequency (%)
25031 1
0.5%
23311 1
0.5%
22320 1
0.5%
22274 1
0.5%
21342 1
0.5%
21234 1
0.5%
21226 1
0.5%
21187 1
0.5%
21032 1
0.5%
20984 1
0.5%

Morocco
Real number (ℝ)

HIGH CORRELATION 

Distinct160
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8943.5625
Minimum588
Maximum43408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:33:00.229935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum588
5-th percentile1127
Q12046
median4154
Q37506.75
95-th percentile35359.95
Maximum43408
Range42820
Interquartile range (IQR)5460.75

Descriptive statistics

Standard deviation11008.469
Coefficient of variation (CV)1.2308819
Kurtosis1.5119909
Mean8943.5625
Median Absolute Deviation (MAD)2174
Skewness1.6766229
Sum1717164
Variance1.2118639 × 108
MonotonicityNot monotonic
2024-02-11T17:33:00.387196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1980 10
 
5.2%
2046 8
 
4.2%
1782 4
 
2.1%
1650 3
 
1.6%
4278 3
 
1.6%
4140 3
 
1.6%
1224 2
 
1.0%
2226 2
 
1.0%
1716 2
 
1.0%
1914 2
 
1.0%
Other values (150) 153
79.7%
ValueCountFrequency (%)
588 1
0.5%
704 1
0.5%
850 1
0.5%
900 1
0.5%
920 1
0.5%
938 1
0.5%
1020 1
0.5%
1060 1
0.5%
1062 1
0.5%
1116 1
0.5%
ValueCountFrequency (%)
43408 1
0.5%
42237 1
0.5%
40118 1
0.5%
39515 1
0.5%
39272 1
0.5%
37470 1
0.5%
37363 1
0.5%
36900 1
0.5%
35609 1
0.5%
35421 1
0.5%

Austria
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct167
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5619.9427
Minimum0
Maximum14943
Zeros8
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:33:00.534993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile360
Q12921
median4350
Q38002.5
95-th percentile14084.75
Maximum14943
Range14943
Interquartile range (IQR)5081.5

Descriptive statistics

Standard deviation3986.7982
Coefficient of variation (CV)0.70940192
Kurtosis-0.12462348
Mean5619.9427
Median Absolute Deviation (MAD)2181
Skewness0.84018193
Sum1079029
Variance15894560
MonotonicityNot monotonic
2024-02-11T17:33:00.701459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
4.2%
1980 3
 
1.6%
360 3
 
1.6%
3240 2
 
1.0%
900 2
 
1.0%
8464 2
 
1.0%
7080 2
 
1.0%
3090 2
 
1.0%
3900 2
 
1.0%
5100 2
 
1.0%
Other values (157) 164
85.4%
ValueCountFrequency (%)
0 8
4.2%
132 1
 
0.5%
360 3
 
1.6%
420 1
 
0.5%
510 1
 
0.5%
696 1
 
0.5%
900 2
 
1.0%
936 1
 
0.5%
1080 1
 
0.5%
1260 1
 
0.5%
ValueCountFrequency (%)
14943 1
0.5%
14890 1
0.5%
14671 1
0.5%
14621 1
0.5%
14591 1
0.5%
14516 1
0.5%
14476 1
0.5%
14290 1
0.5%
14182 1
0.5%
14104 1
0.5%

Portugal
Real number (ℝ)

HIGH CORRELATION 

Distinct137
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4698.9219
Minimum0
Maximum19118
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:33:00.869917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile816.2
Q11083
median2800
Q37180.25
95-th percentile15571.9
Maximum19118
Range19118
Interquartile range (IQR)6097.25

Descriptive statistics

Standard deviation4558.2175
Coefficient of variation (CV)0.97005603
Kurtosis1.0466469
Mean4698.9219
Median Absolute Deviation (MAD)1755
Skewness1.3545452
Sum902193
Variance20777347
MonotonicityNot monotonic
2024-02-11T17:33:01.053455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1064 15
 
7.8%
1083 11
 
5.7%
1102 8
 
4.2%
2208 4
 
2.1%
1007 4
 
2.1%
3960 3
 
1.6%
4464 3
 
1.6%
988 3
 
1.6%
4248 3
 
1.6%
1026 3
 
1.6%
Other values (127) 135
70.3%
ValueCountFrequency (%)
0 1
0.5%
186 1
0.5%
494 1
0.5%
532 1
0.5%
570 1
0.5%
589 1
0.5%
678 1
0.5%
684 1
0.5%
703 1
0.5%
792 1
0.5%
ValueCountFrequency (%)
19118 1
0.5%
18480 1
0.5%
17717 1
0.5%
16802 1
0.5%
16598 1
0.5%
16399 1
0.5%
16383 1
0.5%
16275 1
0.5%
16105 1
0.5%
15705 1
0.5%

Romania
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct156
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4463.724
Minimum0
Maximum14796
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:33:01.241972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1561.8
Q12344.5
median3636
Q36256.5
95-th percentile9442.6
Maximum14796
Range14796
Interquartile range (IQR)3912

Descriptive statistics

Standard deviation2874.3132
Coefficient of variation (CV)0.64392718
Kurtosis2.4052159
Mean4463.724
Median Absolute Deviation (MAD)1478.5
Skewness1.458273
Sum857035
Variance8261676.3
MonotonicityNot monotonic
2024-02-11T17:33:01.433988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1768 7
 
3.6%
1944 5
 
2.6%
2754 5
 
2.6%
2106 4
 
2.1%
2916 4
 
2.1%
2684 3
 
1.6%
3474 3
 
1.6%
2340 3
 
1.6%
1632 2
 
1.0%
3636 2
 
1.0%
Other values (146) 154
80.2%
ValueCountFrequency (%)
0 2
1.0%
756 1
0.5%
945 1
0.5%
984 1
0.5%
1111 1
0.5%
1224 2
1.0%
1458 1
0.5%
1476 1
0.5%
1632 2
1.0%
1690 1
0.5%
ValueCountFrequency (%)
14796 1
0.5%
14616 1
0.5%
14377 1
0.5%
14247 1
0.5%
13716 1
0.5%
12928 1
0.5%
12693 1
0.5%
10875 1
0.5%
9960 1
0.5%
9502 1
0.5%

Luxembourg
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct137
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2232.4167
Minimum0
Maximum5586
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-02-11T17:33:01.638308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile380
Q11125
median1739
Q33681
95-th percentile5093.1
Maximum5586
Range5586
Interquartile range (IQR)2556

Descriptive statistics

Standard deviation1492.7282
Coefficient of variation (CV)0.66866022
Kurtosis-0.90220961
Mean2232.4167
Median Absolute Deviation (MAD)1088
Skewness0.51033501
Sum428624
Variance2228237.5
MonotonicityNot monotonic
2024-02-11T17:33:01.848716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1128 6
 
3.1%
654 5
 
2.6%
1269 5
 
2.6%
4092 4
 
2.1%
3726 4
 
2.1%
3348 3
 
1.6%
750 3
 
1.6%
1314 3
 
1.6%
3912 3
 
1.6%
0 3
 
1.6%
Other values (127) 153
79.7%
ValueCountFrequency (%)
0 3
1.6%
282 1
 
0.5%
297 1
 
0.5%
314 1
 
0.5%
337 1
 
0.5%
363 2
1.0%
380 2
1.0%
381 1
 
0.5%
408 1
 
0.5%
429 1
 
0.5%
ValueCountFrequency (%)
5586 1
 
0.5%
5361 3
1.6%
5316 1
 
0.5%
5310 2
1.0%
5220 1
 
0.5%
5181 1
 
0.5%
5103 1
 
0.5%
5085 1
 
0.5%
4941 1
 
0.5%
4911 1
 
0.5%

num_mes
Real number (ℝ)

Distinct12
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size900.0 B
2024-02-11T17:33:02.020850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median6.5
Q39.25
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4610775
Coefficient of variation (CV)0.53247346
Kurtosis-1.2171618
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum1248
Variance11.979058
MonotonicityNot monotonic
2024-02-11T17:33:02.173024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 16
8.3%
2 16
8.3%
3 16
8.3%
4 16
8.3%
5 16
8.3%
6 16
8.3%
7 16
8.3%
8 16
8.3%
9 16
8.3%
10 16
8.3%
Other values (2) 32
16.7%
ValueCountFrequency (%)
1 16
8.3%
2 16
8.3%
3 16
8.3%
4 16
8.3%
5 16
8.3%
6 16
8.3%
7 16
8.3%
8 16
8.3%
9 16
8.3%
10 16
8.3%
ValueCountFrequency (%)
12 16
8.3%
11 16
8.3%
10 16
8.3%
9 16
8.3%
8 16
8.3%
7 16
8.3%
6 16
8.3%
5 16
8.3%
4 16
8.3%
3 16
8.3%

year
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.5
Minimum2009
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size900.0 B
2024-02-11T17:33:02.372851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2009
Q12012.75
median2016.5
Q32020.25
95-th percentile2024
Maximum2024
Range15
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation4.6218239
Coefficient of variation (CV)0.0022920029
Kurtosis-1.2095947
Mean2016.5
Median Absolute Deviation (MAD)4
Skewness0
Sum387168
Variance21.361257
MonotonicityIncreasing
2024-02-11T17:33:02.548397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2009 12
 
6.2%
2010 12
 
6.2%
2011 12
 
6.2%
2012 12
 
6.2%
2013 12
 
6.2%
2014 12
 
6.2%
2015 12
 
6.2%
2016 12
 
6.2%
2017 12
 
6.2%
2018 12
 
6.2%
Other values (6) 72
37.5%
ValueCountFrequency (%)
2009 12
6.2%
2010 12
6.2%
2011 12
6.2%
2012 12
6.2%
2013 12
6.2%
2014 12
6.2%
2015 12
6.2%
2016 12
6.2%
2017 12
6.2%
2018 12
6.2%
ValueCountFrequency (%)
2024 12
6.2%
2023 12
6.2%
2022 12
6.2%
2021 12
6.2%
2020 12
6.2%
2019 12
6.2%
2018 12
6.2%
2017 12
6.2%
2016 12
6.2%
2015 12
6.2%

Interactions

2024-02-11T17:32:50.673273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:22.031096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:27.660878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:34.452036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:39.811294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:45.674824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:51.514666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:57.415137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:03.054180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:08.621890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:14.902584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:20.203373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:25.312308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.355808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:32.897266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:35.499959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:37.961477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:40.800693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:43.268265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:45.594648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:47.931942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:50.855992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:22.350734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:28.015357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:34.719994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:40.113488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:45.931720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:51.748104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:57.695367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:03.323744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:08.845856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:15.166524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:20.464061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:25.570118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.468612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:33.013892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:35.630903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:38.447963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:40.907661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:43.406308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:45.700123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:48.120974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:50.998508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:22.621824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:28.421929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:35.137281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:40.451596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:46.280168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:52.174340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:57.962162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:03.592415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:09.934946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:15.444946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:20.722000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:25.820605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.595272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:33.144888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:35.763070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:38.575872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:41.017344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:43.523344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:45.802257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:48.234776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:51.134533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:22.841429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:28.763757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:35.394363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-02-11T17:31:46.524557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:52.468055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:58.184242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:03.853403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:10.210495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:15.684955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:20.916943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:26.772591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.696036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:33.252391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:35.879792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:38.688778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:41.117562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:43.626070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:45.907297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:48.340703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:51.294534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:23.122625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:29.092310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:35.657043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:41.004094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:46.877705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:52.723152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:58.442268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:04.132320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:10.496987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:15.921642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:21.162350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:27.434871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.804721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-02-11T17:32:35.999081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:38.796181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:41.218307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-02-11T17:32:46.016554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:48.453966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:51.422168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:23.324758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:29.453197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:35.905532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:41.296943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:47.186617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:52.970546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:58.680245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:04.374403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:10.742950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:16.160968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:21.424873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:27.751697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.913434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:33.483819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-02-11T17:32:21.708466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-02-11T17:32:50.324647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:53.380975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:27.192677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:33.813150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:39.365904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:45.188316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:51.080215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:56.880888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:02.492252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:08.092394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:14.412038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:19.720595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:24.810985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.062715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:32.635184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:35.226555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:37.737383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:40.560083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:42.997608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:45.385729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:47.705299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:50.425550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:53.505253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:27.422539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:34.160787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:39.573424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:45.408781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:51.305133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:31:57.139802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:02.754007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:08.359692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:14.648253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:19.945233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:25.045229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:30.183257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:32.777803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:35.372540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:37.841666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:40.673337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:43.124604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:45.488550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:47.817516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:32:50.522424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-02-11T17:33:02.717226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
AustriaBelgiumDenmarkFinlandFranceGermanyIrelandItalyLuxembourgMoroccoNetherlandsNorwayPortugalRomaniaSpainSwedenSwitzerlandTotalUnited Kingdomnum_mesyear
Austria1.0000.7860.7630.7600.7640.6010.6570.8350.7700.6720.8630.6240.7750.7600.5890.8300.7550.7560.5350.1250.656
Belgium0.7861.0000.9250.8210.9530.8570.8400.9170.8920.5210.9120.8320.6940.8340.5720.9080.9050.9230.7850.1770.485
Denmark0.7630.9251.0000.8560.8900.8110.8010.8900.8420.5270.8870.8070.7360.8170.5700.9200.8840.8880.7470.1510.518
Finland0.7600.8210.8561.0000.8330.7430.7330.8530.7490.4540.7970.7900.7150.7140.5420.8960.8110.8130.6640.1370.505
France0.7640.9530.8900.8331.0000.8730.8730.9170.9230.4930.8920.8760.6390.8000.6060.8910.9310.9460.8150.1890.442
Germany0.6010.8570.8110.7430.8731.0000.9120.7750.7580.2770.7130.8700.3950.5820.5450.7320.8420.9200.9170.1970.155
Ireland0.6570.8400.8010.7330.8730.9121.0000.8110.7870.3480.7360.8600.4230.6010.7030.7090.8530.9570.9430.1480.194
Italy0.8350.9170.8900.8530.9170.7750.8111.0000.8540.5890.9130.7770.7660.8520.6910.8990.8690.9120.7390.1240.548
Luxembourg0.7700.8920.8420.7490.9230.7580.7870.8541.0000.5980.9010.7700.6940.8330.5110.8740.8730.8620.6860.1510.608
Morocco0.6720.5210.5270.4540.4930.2770.3480.5890.5981.0000.6810.3360.7360.6630.4320.6330.5110.4680.1920.1170.788
Netherlands0.8630.9120.8870.7970.8920.7130.7360.9130.9010.6811.0000.6990.8080.9020.6070.9240.8400.8480.6260.1290.661
Norway0.6240.8320.8070.7900.8760.8700.8600.7770.7700.3360.6991.0000.4320.5980.5050.7790.8470.8790.8380.1680.230
Portugal0.7750.6940.7360.7150.6390.3950.4230.7660.6940.7360.8080.4321.0000.8170.4220.8280.6310.5720.3070.1080.842
Romania0.7600.8340.8170.7140.8000.5820.6010.8520.8330.6630.9020.5980.8171.0000.4740.8770.7480.7280.5050.1050.730
Spain0.5890.5720.5700.5420.6060.5450.7030.6910.5110.4320.6070.5050.4220.4741.0000.5040.6580.7450.6360.1530.186
Sweden0.8300.9080.9200.8960.8910.7320.7090.8990.8740.6330.9240.7790.8280.8770.5041.0000.8570.8300.6230.1630.674
Switzerland0.7550.9050.8840.8110.9310.8420.8530.8690.8730.5110.8400.8470.6310.7480.6580.8571.0000.9300.7800.2090.460
Total0.7560.9230.8880.8130.9460.9200.9570.9120.8620.4680.8480.8790.5720.7280.7450.8300.9301.0000.9120.1830.340
United Kingdom0.5350.7850.7470.6640.8150.9170.9430.7390.6860.1920.6260.8380.3070.5050.6360.6230.7800.9121.0000.1910.030
num_mes0.1250.1770.1510.1370.1890.1970.1480.1240.1510.1170.1290.1680.1080.1050.1530.1630.2090.1830.1911.0000.000
year0.6560.4850.5180.5050.4420.1550.1940.5480.6080.7880.6610.2300.8420.7300.1860.6740.4600.3400.0300.0001.000

Missing values

2024-02-11T17:32:53.706567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-11T17:32:54.169959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

FechaTotalUnited KingdomSpainGermanyFranceNetherlandsIrelandBelgiumDenmarkItalySwedenNorwaySwitzerlandFinlandMoroccoAustriaPortugalRomaniaLuxembourgnum_mesyear
02009-01-0141746415038113501728310183001117620994858169507308216654257488523510620589176846412009
12009-02-013988191426331294693042016524107821856173147888537618846215640459089200532163238122009
22009-03-0146917917698013699335876189481312421419941214926638427336922807367011020132494190447232009
32009-04-015880522368011342054448723232169284181617377205071008028298652103568400850696678176875642009
42009-05-01666884284106133888665742494219040367902008620597104164062106021092278849003354913176864852009
52009-06-0166788928608013283362816236611880435798183722117310704506411098981283229382924570176884762009
62009-07-0171965031205813332265350235392143036260240242403313128746713700100128760106031721333176843272009
72009-08-0172363632302813523665106243591848036260245442015713842517312259106667665173031551105176854082009
82009-09-01668418294608131752620292265321156350271923914536131852904102199844788458831121238176875692009
92009-10-016451552752271337056270122138186743347418760188491164932981012010325959370426707921632638102009
FechaTotalUnited KingdomSpainGermanyFranceNetherlandsIrelandBelgiumDenmarkItalySwedenNorwaySwitzerlandFinlandMoroccoAustriaPortugalRomaniaLuxembourgnum_mesyear
1822024-03-0195590120164518812667682512276016536725317083411148041326031765023058178462229514890117907400329132024
1832024-04-01120714028239720431689119690287629157802453953619263501418982666728046208683408814104157059263494142024
1842024-05-011303834305337218537104701800527848864678449873806166834428582983228347213423560914591168029502558652024
1852024-06-0113538413208072256341088728531675530623204408042366662364606530336301312083134451144761610514377531062024
1862024-07-0114394443363082362511139679513974250667534818548318684325259338004311412122637470145161848014616536172024
1872024-08-0114289033393072345211138229848475383669734834544241686634428931305311242071739272149431911814796536182024
1882024-09-0113526113247592281591110208602275976644094542039969638114461028329304102077633813140691771714247522092024
1892024-10-01122989729273520383510038574949741865551843470390395696643416284943066320984316601283516383126935361102024
1902024-11-0136935386913644212345620202629395705754221345435234451766121708158033932352869760654112024
1912024-12-01286873430376533419875119660852653201899002171413959152161596941463528733000122024